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Capacity analysis of railway lines in Germany - A rigorous discussion of the queueing based approach

机译:德国铁路线的容量分析-基于排队方法的严格讨论

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The operation of railway systems requires detailed information on infrastructure capacity. A major challenge, especially in long-term planning, is assessing the quality of operations given very limited information on schedules is available. To this end, analytical models based on a stochastic description of railway systems have found widespread application. We discuss a model for the capacity analysis of railway lines relying on single channel queueing systems. By identifying knock-on delays with waiting times delays can be estimated using methods from stochastics and queueing theory. Mean knock-on delays are used as a quality-dependent indicator of capacity allowing to determine the admissible number of trains for a prescribed level of service. Though being widely used in Germany the model has not been made fully available to the research community. In this paper two main contributions are made: A new, mathematically rigorous derivation of the pivotal "Strele Formula" for the estimation of knock-on delays, which is based on the convolution of delay distribution functions, is provided. Unlike existing discussions our approach is valid for general independent buffer times. Additionally, we critically review the model assumptions and investigate the "triangular gap problem", an overestimation of capacity resulting from the model's limitation to pairwise correlations.
机译:铁路系统的运行需要有关基础设施容量的详细信息。在可获得的时间表信息非常有限的情况下,尤其是在长期计划中,主要的挑战是评估运营质量。为此,已经发现了基于铁路系统随机描述的分析模型得到了广泛的应用。我们讨论了一种基于单通道排队系统的铁路线容量分析模型。通过识别带有等待时间的连锁延迟,可以使用随机和排队论方法估算延迟。平均连锁延迟被用作容量的质量相关指标,从而可以确定规定服务水平的列车允许数量。尽管该模型已在德国广泛使用,但尚未完全提供给研究团体。本文做出了两个主要贡献:基于延迟分布函数的卷积,提供了一种新的,数学上严格的推论“敲入延迟”的“ Strele公式”。与现有讨论不同,我们的方法适用于一般的独立缓冲时间。此外,我们严格审查模型假设并研究“三角间隙问题”,这是模型对成对相关性的限制所导致的对容量的高估。

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